Try and practice the latest Hortonworks : Apache-Hadoop-Developer real questions & answers
Updated: Aug 02, 2026
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Hortonworks Apache-Hadoop-Developer Exam Overview:
| Certification Vendor: | Hortonworks |
| Exam Name: | Hortonworks Certified Apache Hadoop 2.0 Developer (Pig and Hive Developer) |
| Exam Number: | HADOOP-PR000007 / HDPCD / Apache-Hadoop-Developer |
| Available Languages: | English |
| Exam Price: | $250 USD |
| Related Certifications: | Hortonworks Certified Associate (HCA) HDP Certified Administrator (HDPCA) |
| Exam Duration: | 120 minutes |
| Certificate Validity Period: | 2 years |
| Passing Score: | 70% |
| Real Exam Qty: | 8–12 performance-based tasks / approx. 110 multiple-choice |
| Exam Format: | Performance-based hands-on tasks, Multiple-choice questions, Scenario-based tasks |
| Recommended Training: | Hortonworks Official Developer Training Apache Pig & Hive Official Documentation |
| Exam Registration: | Hortonworks Certification Portal |
| Sample Questions: | Hortonworks Apache-Hadoop-Developer Sample Questions |
| Exam Way: | Online proctored exam on a remote HDP 2.2 / 2.4 cluster |
| Pre Condition: | Recommended: 6+ months hands-on experience with HDP, Pig, Hive, Sqoop, Flume; no mandatory prerequisites |
| Official Syllabus URL: | https://hortonworks.com/services/training-certification/ (program retired) |
Hortonworks Apache-Hadoop-Developer Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Apache Hive Development | 25% | - Use Hive functions, views, and metastore - Write and optimize HiveQL queries - Create and manage Hive tables, partitions, and buckets |
| Data Ingestion | 25% | - Import/export data using Sqoop - Ingest streaming data with Flume - Load data into HDFS from external sources |
| Hadoop Fundamentals & Architecture | 20% | - HDFS operations and file management - YARN architecture and job execution - MapReduce concepts and job lifecycle |
| Apache Pig Development | 30% | - Debug and tune Pig jobs - Data transformation, filtering, joining, and aggregation - Write and optimize Pig Latin scripts |
Hortonworks Hadoop 2.0 Certification exam for Pig and Hive Developer Sample Questions:
1. In Hadoop 2.0, which one of the following statements is true about a standby NameNode?
The Standby NameNode:
A) Runs on the same machine and shares the memory of the active NameNode.
B) Communicates directly with the active NameNode to maintain the state of the active NameNode.
C) Processes all client requests and block reports from the appropriate DataNodes.
D) Receives the same block reports as the active NameNode.
2. Table metadata in Hive is:
A) Stored as metadata on the NameNode.
B) Stored in the Metastore.
C) Stored along with the data in HDFS.
D) Stored in ZooKeeper.
3. A NameNode in Hadoop 2.0 manages ______________.
A) A single namespace
B) No namespaces
C) An arbitrary number of namespaces
D) Two namespaces: an active namespace and a backup namespace
4. How are keys and values presented and passed to the reducers during a standard sort and shuffle phase of MapReduce?
A) Keys are presented to a reducer in random order; values for a given key are sorted in ascending order.
B) Keys are presented to a reducer in random order; values for a given key are not sorted.
C) Keys are presented to reducer in sorted order; values for a given key are not sorted.
D) Keys are presented to reducer in sorted order; values for a given key are sorted in ascending order.
5. Review the following data and Pig code.
M,38,95111 F,29,95060 F,45,95192 M,62,95102 F,56,95102
A = LOAD 'data' USING PigStorage('.') as (gender:Chararray, age:int, zlp:chararray);
B = FOREACH A GENERATE age;
Which one of the following commands would save the results of B to a folder in hdfs named myoutput?
A) DUMP B INTO 'myoutput';
B) DUMP B using PigStorage('myoutput');
C) STORE A INTO 'myoutput' USING PigStorage(',');
D) STORE B INTO 'myoutput';
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: B | Question # 3 Answer: A | Question # 4 Answer: C | Question # 5 Answer: D |
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